BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Berlin BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260906T203512Z UID:437BDF71-7D1D-4C2F-8CF9-A32AA50D21C8 DTSTART;TZID=Europe/Berlin:20260906T181500 DTEND;TZID=Europe/Berlin:20260906T190000 DESCRIPTION:Abstract:\n\nDriver assistance techniques are increasingly requ ired to operate in real-world environments with low cost and limited compu tational resources. However\, most existing schemes rely on multi-sensor c onfigurations or complex calibration procedures\, which increase system co st and limit scalability. This paper presents a lightweight monocular meth odology for real-time risk analysis\, designed for embedded automotive app lications. It integrates a homography-based calibration procedure\, bird ’s eye view transformation\, and distance estimation to obtain spatial i nformation from a single camera. Based on this representation\, it compute s proximity to critical regions and assigns risk levels using a distance-b ased approach\, avoiding dependency on predefined polygonal zones. Experim ental observations show that the proposed approach provides consistent ris k estimation and stable behavior across different scenarios\, while mainta ining low computational cost and real-time performance.\n\nSpeaker(s): Lau ra Martinho\n\nAgenda: \nThe webinar will take place on the sidelines of t he 15th IEEE International Conference on Consumer Electronics (ICCE Berlin 2026)\, held on 5–7 September 2026 in Berlin\, Germany.\n\nGreetings an d Introduction: 5 minutes\nPresentation: 15-20 minutes\nQ&A: 3-5 minutes\n \nChapter time: 15 minutes\n\nRoom: Corinth\, Bldg: Hilton Hotel\, Anton-W ilhelm-Amo-Straße 30\, Berlin\, Berlin\, Germany\, 10117\, Virtual: https ://events.vtools.ieee.org/m/576025 LOCATION:Room: Corinth\, Bldg: Hilton Hotel\, Anton-Wilhelm-Amo-Straße 30\ , Berlin\, Berlin\, Germany\, 10117\, Virtual: https://events.vtools.ieee. org/m/576025 ORGANIZER:heracletus@hotmail.com SEQUENCE:10 SUMMARY:Distance-Based Risk Analysis Using Monocular BEV Transformation for Blind-Spot Assistance URL;VALUE=URI:https://events.vtools.ieee.org/m/576025 X-ALT-DESC:Description: <br /><div style="font-family: Aptos \, Aptos_Embed dedFont \, Aptos_MSFontService \, Calibri \, Helvetica \, sans-serif\; fon t-size: 12.0pt\; color: rgb(0\,0\,0)\;">Abstract:</div>\n<div style="font- family: Aptos \, Aptos_EmbeddedFont \, Aptos_MSFontService \, Calibri \, H elvetica \, sans-serif\; font-size: 12.0pt\; color: rgb(0\,0\,0)\;">&nbsp\ ;</div>\n<div style="font-family: Aptos \, Aptos_EmbeddedFont \, Aptos_MSF ontService \, Calibri \, Helvetica \, sans-serif\; font-size: 12.0pt\; col or: rgb(0\,0\,0)\;">\n<p class="abstract-panel__content" data-v-59708cb6=" ">Driver assistance techniques are increasingly required to operate in rea l-world environments with low cost and limited computational resources. Ho wever\, most existing schemes rely on multi-sensor configurations or compl ex calibration procedures\, which increase system cost and limit scalabili ty. This paper presents a lightweight monocular methodology for real-time risk analysis\, designed for embedded automotive applications. It integrat es a homography-based calibration procedure\, bird&rsquo\;s eye view trans formation\, and distance estimation to obtain spatial information from a s ingle camera. Based on this representation\, it computes proximity to crit ical regions and assigns risk levels using a distance-based approach\, avo iding dependency on predefined polygonal zones. Experimental observations show that the proposed approach provides consistent risk estimation and st able behavior across different scenarios\, while maintaining low computati onal cost and real-time performance.</p>\n<button class="abstract-panel__t oggle" type="button" data-v-59708cb6="" aria-expanded="true"></button></di v>\n<div style="font-family: Aptos \, Aptos_EmbeddedFont \, Aptos_MSFontSe rvice \, Calibri \, Helvetica \, sans-serif\; font-size: 12.0pt\; color: r gb(0\,0\,0)\;">&nbsp\;</div><br /><br />Agenda: <br /><p>The webinar will take place on the sidelines of the 15th IEEE International Conference on C onsumer Electronics (ICCE Berlin 2026)\, held on 5&ndash\;7 September 2026 in Berlin\, Germany.</p>\n<p>&nbsp\;</p>\n<p><strong data-start="56" data -end="86">Greetings and Introduction: </strong>5 minutes<br data-start="86 " data-end="89"><strong data-start="89" data-end="106">Presentation:</stro ng> 15-20 minutes<br data-start="117" data-end="120"><strong data-start="1 20" data-end="128">Q&amp\;A:</strong> 3-5 minutes</p>\n<p><strong>Chapter time:</strong> 15 minutes</p> END:VEVENT END:VCALENDAR